Worry and sleep length revisited: worry,sleep length,and sleep disturbance ascribed to worry

The author administered university students (N = 222; 152 women, 70 men) the Worry Domains Questionnaire (F. Tallis, G. C. L. Davey, & A. Bond, 1994) and a newly constructed scale (the Sleep Disturbance Ascribed to Worry Scale) to measure sleep disturbance attributed to worry. To revisit previous studies (i.e., E. Hartmann, F. Baekeland, & G. R. Zwilling, 1972; S. J. H. McCann & L. L. Stewin, 1988) that suggested that sleep length was positively related to worry, the author also asked the students a question about habitual sleep length. The results indicated that worry and sleep disturbance attributed to worry were negatively related to sleep length. A regression analysis revealed that worry was significantly negatively related to habitual sleep length irrespective of sleep disturbance ascribed to worry.     

Worry and Sleep Length Revisited: Worry,Sleep Length,and Sleep Disturbance Ascribed to Worry

The author administered university students (N = 222; 152 women, 70 men) the Worry Domains Questionnaire (F. Tallis, G. C. L. Davey, & A. Bond, 1994) and a newly constructed scale (the Sleep Disturbance Ascribed to Worry Scale) to measure sleep disturbance attributed to worry. To revisit previous studies (i.e., E. Hartmann, F. Baekeland, & G. R. Zwilling, 1972; S. J. H. McCann & L. L. Stewin, 1988) that suggested that sleep length was positively related to worry, the author also asked the students a question about habitual sleep length. The results indicated that worry and sleep disturbance attributed to worry were negatively related to sleep length. A regression analysis revealed that worry was significantly negatively related to habitual sleep length irrespective of sleep disturbance ascribed to worry.     

Capturing worry in daily life: are trait questionnaires sufficient?

Worry is crucial in the development and maintenance of anxiety disorders and has been associated with several other adverse health outcomes. Yet, little is known about the frequency and perseveration of worry in daily life, and its predictability by widely used trait questionnaires. In this study 432 students completed the Penn State Worry Questionnaire (PSWQ), the Worry Domains Questionnaire (WDQ) and the State-Trait Anxiety Inventory-Trait version (STAI-T) and kept a log of worry frequency and duration during six consecutive days and nights. The results showed that worry is a very common phenomenon that is predicted by the two trait worry questionnaires, independent of trait anxiety. The often clinically utilized PSWQ predicted worry duration better than the WDQ, and exclusively predicted night-time worry and several other indices of perseverative and potentially pathogenic worry. Although this study provides some support for the predictive validity of the PSWQ and the WDQ, these questionnaires did not account for the larger part of variance in daily worry. Future studies of worry and its associated perseverative processes should consider using momentary assessments.     

Reliability and validity of two widely-used worry questionnaires: self-report and self-peer convergence

The reliability and validity of the Penn State Worry Questionnaire (PSWQ) and the Worry Domains Questionnaire (WDQ) were examined with self-ratings from a non-clinical sample of 148 students in a test-retest design across four weeks. Ratings from three well-acquainted peers were also obtained. With internal consistencies and test-retest correlations of at least 0.85, the present study confirmed the high reliability of the questionnaires. Moreover, both measures demonstrated substantial convergent validity: Average agreement among peers was 0.42 (PSWQ) and 0.47 (WDQ) and aggregated self-peer agreement was 0.55 (PSWQ) and 0.49 (WDQ). Self-peer agreement was not biased by social desirability. These findings challenge views that worry is an unreliable and unobservable phenomenon.     

Worry and rumination: differential associations with anxious and depressive symptoms and coping behavior

Worry and rumination are closely allied cognitive processes that impact on the experience of anxious and depressive symptoms. Using a prospective design, this study examined overlapping and distinct features of worry and rumination in relation to symptoms and coping behavior in a nonclinical sample of Singaporean college students. Worry and rumination were highly correlated, but they retained distinct components that predicted anxious and depressive symptoms differentially within and across time. Specifically, worry was uniquely associated with anxious and depressive symptoms whereas rumination was uniquely related to depression. In comparison to rumination, worry emerged as the dominant cognitive vulnerability factor that predicted increments in symptoms over time. With regards to coping behavior, low perceived coping effectiveness partially mediated the relation between worry and increases in anxiety and depression. Conversely, rumination uniquely predicted higher disengagement from problems, which resulted in further exacerbation of depressive mood. These results demonstrated not only the distinct features of worry and rumination on coping behavior, but also the different coping pathways by which they differentially impact on subsequent symptoms.     

Experimental manipulation of intolerance of uncertainty: a study of a theoretical model of worry

Intolerance of uncertainty has been identified as an important variable related to worry and Generalized Anxiety Disorder (GAD) [Dugas, M. J., Gagnon, F., Ladouceur, R., & Freeston, M. H. (1998). Generalized anxiety disorder: a preliminary test of a conceptual model. Behaviour Research and Therapy, 36, 215-226; Ladouceur, R., Dugas, M. J., Freeston, M. H., Rhéaume, J., Blais, F., Boisvert, J.-M., Gagnon, F., & Thibodeau, N. (1999). Specificity of Generalized Anxiety Disorder symptoms and processes. Behavior Therapy, 30, 197-207]. The goal of the present study was to clarify the relationship between this cognitive process and worry by experimentally manipulating intolerance of uncertainty. A gambling procedure was used to increase intolerance of uncertainty in one group (N = 21) and to decrease intolerance of uncertainty in another group (N = 21). The results indicate that participants whose level of intolerance of uncertainty was increased showed a higher level of worry, compared to participants whose level of intolerance of uncertainty was decreased. These results provide some initial clarifications as to the causal nature of the link between intolerance of uncertainty and worry. These results are coherent with our theoretical model of worry and GAD (Dugas et al., 1998), which stipulates that intolerance of uncertainty plays a key role in the acquisition and maintenance of excessive worry.     

Night-time thoughts in high and low worriers: reaction to caffeine-induced sleeplessness

There is ample evidence for the existence of an association between sleeplessness and worry. Not much is known, however, concerning the nature of this relationship. Therefore, a study was conducted investigating the causal relationship between sleeplessness and nocturnal worry. A 2 x 2 (Worry x Induced sleeplessness) analysis of covariance design was used. The first factor consisted of a subject variable defined by scoring either high or low on a trait measure of worry (the Penn State Worry Questionnaire) and the second factor consisted of 300 mg caffeine or placebo. A total of 96 female undergraduate students participated. The dependent variables comprised measures of nocturnal worry (the Night-Time Thoughts Questionnaire) and subjective and objective sleep parameters. Overall, caffeine caused an increase in nocturnal worry and sleeplessness. A significant interaction effect occurred between Worry and Induced sleeplessness on one of the objective sleep parameters, but no other interaction effects were significant. The results suggest that worry may occur as an epiphenomenon of sleeplessness.     

A Taxometric Investigation of the Latent Structure of Worry: Dimensionality and Associations With Depression, Anxiety, and Stress

Worry has been described as a core feature of several disorders, particularly generalized anxiety disorder (GAD). The present study examined the latent structure of worry by applying 3 taxometric procedures (MAXEIG, MAMBAC, and L-Mode) to data collected from 2 large samples. Worry in the first sample (Study 1) of community participants (n = 1,355) was operationalized by worry engagement, absence of worry, and the worry feature of trait anxiety. Worry in the second sample (Study 2) of undergraduate participants (n = 1,171) was operationalized by the tendency to experience worry, intolerance of uncertainty, beliefs about worry, and symptoms of GAD. Results across both samples provided converging evidence that worry is best conceptualized as a dimensional construct, present to a greater or lesser extent in all individuals. Findings from Study 2 also indicated that the latent dimension of worry generally has an equal association with symptoms of depression, anxiety, and stress across the entire continuum. These findings are discussed in relation to the conceptualization and assessment of worry in GAD and related disorders.     

The Penn State Worry Questionnaire—Past Day: Development and Validation of a Measure Assessing Daily Levels of Worry

Based on the widely used Penn State Worry Questionnaire for trait worry, a scale was developed to measure the level of worry experienced during the past 24 h. This instrument, the Penn State Worry Questionnaire—Past Day (PSWQ-PD), was administered to a student sample and two clinical samples. The PSWQ-PD demonstrated high internal consistency, good convergent validity and adequate test-retest reliability. A confirmatory factor analysis revealed that a unifactorial solution provided the best fit. Moreover, it was shown that the PSWQ-PD is a more state-like worry measure than the original PSWQ. The PSWQ-PD is a promising, brief tool for daily worry assessment, which is apt for frequent administration.     

Initial Validation of the Children’s Worry Management Scale

We investigated the psychometric properties of a new instrument, the Children’s Worry Management Scale (CWMS). The CWMS has three subscales that specify methods of regulating worry: inhibition (the suppression of worry), dysregulation (exaggerated displays of worry), and coping (constructive ways of managing worry). Using a Caucasian, middle-class sample of 214 children (M = 9 years, 1 month), Study 1 provides reliability and validity data through patterns of correlations to parent- and child-completed measures of emotion management and behavioral problems. Internal consistencies range from .69 to .74. Study 2 establishes discriminant validity by demonstrating that the CWMS Dysregulation and Coping subscales differentiated, in the expected directions, between a group of children (n = 27) with DSM-IV anxiety diagnoses and a control group of children with no psychological disorders.     

Specificity of measures of thought control

The rebound effect (D. M. Wegner, 1994) essentially involves the persistence of thought when an effort has been made to suppress the cognitive activity. Some of the research in this area has been directed at determining personal factors that predict differential levels of rebound. To this end, measures of thought control have emerged. In the present study the authors examined the properties of 2 measures of thought control: the Thought Control Questionnaire (TCQ; A. Wells & M. I. Davies, 1994) and the White Bear Suppression Inventory (WBSI; D. M. Wegner & S. Zanakos, 1994). Each measure was examined in relation to measures of obsessive-compulsive symptoms and worry, as well as combined factorial structure. Scores generally indicated that items on the Worry and Punishment subscales of the TCQ were highly related to worry and obsessive-compulsive symptoms, whereas scores on the WBSI showed an association between Worry and 1 subscale (Slowness) of obsessive-compulsive symptoms. Results of a principal components analysis indicate that, in the aggregate, the items from the TCQ and WBSI form 2 factors: Dysfunctional and Functional Thought Control Strategies. From these data, it appears that the TCQ possesses greater potential to predict performance in rebound experiments and has greater clinical usefulness. Future research directions involving the TCQ are recommended.     

Regulation strategies during COVID-19 quarantine: The mediating effect of worry on the links between coping strategies and anxiety

IntroductionThe COVID-19 outbreak forced Italian citizens into a generalized quarantine from March to May 2020. The quarantine is a successful measure to reduce the virus's spread through physical and social distancing, but it can also have negative psychological consequences on the population. People experience high levels of worry and anxiety and have to cope with the consequences of the health emergency. The aim of this study was to preliminarily assess the causal relations among coping, worry and state anxiety at the time of COVID-19 first wave, and the mediation role of worry between coping and state anxiety.MethodsDuring March 2020, 1273 Italian citizens completed an ad hoc online survey composed of sociodemographic and preoccupation-related questions, and standardized self-report questionnaire (Brief COPE, Penn State Worry Questionnaire and State-Trait Anxiety Inventory-State form). Three separate mediation models were performed.ResultsThe relationship between coping strategies (i.e.: problem-focused coping, emotion-focused coping and dysfunctional coping) and state anxiety resulted to be mediated by worry. Dysfunctional and problem-focused coping had a negative effect on anxiety scores and this effect was amplified by high levels of worry. Emotion-focused coping reduced state anxiety scores through its effect on reducing the levels of worry, which in turn was related to a reduction in anxiety.ConclusionThe present study offers first evidence for the mediation role of worry in the relation between coping and anxiety during quarantine caused by COVID-19 pandemic. It supports the clinical importance of investigating people's coping strategies along with the levels of (cognitive) worry and their long-term effects on the psychological well-being during the outbreak, in order to deliver adequate personalized interventions. Psychological support should enhance emotion-focused coping strategies that have a protective effect on both worry and anxiety.     

Trait anxiety, defensiveness, and the structure of worry

A principal components analysis of the ten scales of the Worry Questionnaire revealed the existence of major worry factors or domains of social evaluation and physical threat, and these factors were confirmed in a subsequent item analysis. Those high in trait anxiety had much higher scores on the Worry Questionnaire than those low in trait anxiety, especially on those scales relating to social evaluation. Scores on the Marlowe-Crowne Social Desirability Scale were negatively related to worry frequency. However, groups of low-anxious and repressed individuals formed on the basis of their trait anxiety and social desirability scores did not differ in worry. It was concluded that worry, especially in the social evaluation domain, is of fundamental importance to trait anxiety.     

Confirmatory factor analysis of the Penn State Worry Questionnaire

Worry is often assessed with the 16-item Penn State Worry Questionnaire (PSWQ; Meyer, Miller, Metzger, & Borkovec, 1990. Behaviour Research and Therapy, 28, 487-495), but the factor structure of the PSWQ is not well articulated. Three factor analyses of the PSWQ have been conducted, with two (Brown, Antony, & Barlow, 1992. Behaviour Research and Therapy, 30, 33-37; van Rijsoort, Emmelkamp, & Vervaeke, 1999) retaining a unifactorial solution and one (St?ber, 1995) retaining a two-factor solution. We sought to determine the relative strengths of these solutions. Seven hundred eighty-eight undergraduates completed the PSWQ and measures of depression and anxiety. Confirmatory factor analyses indicated that the two-factor solution provided a better fit to the data. There was also evidence for a higher order worry factor. Multiple regression analyses revealed that factor 1 (Worry Engagement) explained the majority of the variance in the symptom measures. The higher order worry factor also accounted for variance in some measures. Compared to the PSWQ total score, Worry Engagement demonstrated slightly higher internal consistency and significantly stronger correlations with most measures of depression and anxiety. Factor 2 (Absence of Worry) demonstrated moderate negative correlations with Worry Engagement and the PSWQ Total Score but only modest correlations with depression and anxiety.     

Distinctions Between Worry and Perceived Risk in the Context of the Theory of Planned Behavior

Worry and risk perception were integrated into the theory of planned behavior (TPB) within health and non-health domains (flossing and academic coursework, respectively). Models were estimated and replicated in 2 undergraduate samples ( n s = 191 and 309), with effects of worry and risk on intentions expected to occur primarily through attitudes. Past behavior was modeled through effects on all TPB constructs and through interactions with worry and risk. Worry positively predicted intentions and attitudes (and norms in the non-health domain) for those at the lowest levels of prior behavior. Risk perceptions negatively predicted intentions and self-efficacy (and attitudes in the health context) also for those at low levels of prior behavior. Implications for further theory development are discussed.     

Coping sense of humor reduces effects of stereotype threat on women's math performance

Two studies demonstrated that coping sense of humor buffered women against the effects of stereotype threat on math performance. Using a correlational design, Study 1 demonstrated that women low in coping sense of humor assessed their performance on standardized math tests lower than did men and lower than did women high in coping sense of humor. Using an experimental design, Study 2 showed that coping sense of humor was positively related to women's performance on a math test taken under conditions of stereotype threat but not under conditions of no stereotype threat. Mediation analyses suggest that in the stereotype-threat condition, state anxiety mediated the relationship between coping sense of humor and test performance. Women higher in coping sense of humor performed better because they felt less anxiety while taking the test.     

Worry, anxiety, and preferred length of sleep

Sixty-three female and 43 male undergraduates responded to a "worry" scale, a trait anxiety measure, and a question asking preferred length of sleep to clarify conflicting findings regarding the relationship between worry and anxiety and length of sleep (e.g., Hartmann, 1973; Hicks & Pellegrini, 1977; Kumar & Vaidya, 1984). Worry and length of sleep were positively correlated, supporting Hartmann's contentions. Anxiety was related to sleep in a U-shaped curvilinear fashion. Anxiety and worry were substantially correlated (r = .60) for subjects above the median on worry but were not correlated for subjects below the median. Worry may be the underlying construct in the positive relationship between anxiety and length of sleep for highly anxious persons. Comparison of high worry-low anxiety and low worry-high anxiety groups also suggests that our understanding of the relationships among sleep, anxiety, and worry may benefit from the simultaneous consideration of worry and anxiety factors.     

Worry and Pathological Worry in Patients with Psoriasis: Cross Sectional and Longitudinal Analyses of the Penn State Worry Questionnaire (PSWQ) in Four Samples of Patients

The purpose of the present study was to examine the psychometric properties of the Penn state Worry Questionnaire (PSWQ) in patients with psoriasis. A series of cross-sectional and longitudinal studies were undertaken to assess the reliability, stability and validity of the measure. Patients with psoriasis from four samples (consecutive attendees, anxious patients, depressed patients, and 6-month follow-up of consecutive attendees) completed the PSWQ and measures assessing related constructs of anxiety and depression (HADS) and coping (COPE). The clinical severity of patients psoriasis was also assessed by dermatologists using the Psoriasis Area and Severity Index (PASI). Exploratory factor analysis was undertaken and receiver operator characteristic (ROC) analyses were used to examine the clinical utility of the PSWQ cut-off score for normal and pathological worry. Exploratory factor analysis suggested that the PSWQ is essentially unidimensional in patients with psoriasis. Intraclass correlation demonstrated that, over a 6-month period, the reproducibility of the PSWQ total scale was good in patients with anxiety and moderate in patients with depression. ROC analysis suggested that the optimum cutoff differentiating pathological worry was > 60, which is commensurate with findings in adult mental health more generally. The PSWQ cutoff for pathological worry showed a lower specificity for depression than anxiety. The PSWQ is an appropriate measure of pathological worry in patients with psoriasis. The cutoff on the scale for pathological worry demonstrates appropriate conceptual overlap with subordinate distress categories of anxiety and depression.     

Worry and working memory influence each other iteratively over time

Little research has examined whether the relationship between working memory (WM) and anxiety/worry remains stable or changes over time; and, if changes occur, the factor(s) influencing change. Claims about influence are typically inferred from data collected at a single time point, and may misrepresent the nature of influence. To investigate the iterative influence of WM and Worry and/or vice versa, 133 fourteen-year-olds completed WM and Worry measures several times over the course of a single day as they prepared for a math test. We used a bivariate latent difference score model to analyse possible changes in WM–Worry relationships. The best fitting model indicated high Worry predicts decreases in WM, and low or decreased WM predicts increases in Worry; high WM with low Worry predicts accurate problem solving; low WM with high Worry predicts inaccurate problem solving. Findings show relationships between WM and Worry varies considerably over a single day, and initial disadvantages become worse over time.